class_docstr: Class wrapping the normalizing flows so it can articulate with
  :class:`~pythae.trainers.BaseTrainer`
code: def model_config(self):
      return self.flow.model_config
  
imports: import os
  import sys
  from copy import deepcopy
  import numpy
  import torch
  import torch.nn
  from ....data.datasets import BaseDataset
  from ...auto_model import AutoConfig
  from ...base.base_config import EnvironmentConfig
  from ...base.base_utils import ModelOutput
  from .base_nf_config import BaseNFConfig
label_desc: Use image node_id 2 for calling the NFModel obj's underlying member method code with example usage: obj.model_config() and returns: self